Dror Ben-Zeev1, Rochelle Frounfelker, Scott B Morris, Patrick W Corrigan. 1. Thresholds-Dartmouth Research Center, Chicago, Illinois, USA ; Dartmouth Psychiatric Research Center, Department of Psychiatry, The Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA.
Abstract
OBJECTIVE: Self-stigma has significant negative impact on the recovery of individuals with severe mental illness, but its varying course is not well understood. Individual levels of self-stigma may vary over time and fluctuate in response to both external/contextual (i.e., location, activity, social company) and internal (i.e., psychiatric symptoms, mood) factors. The aim of this study was to examine the relationship between self-stigmatizing beliefs and these factors, as they occur in the daily life of individuals with schizophrenia. METHODS: Mobile technologies were used to longitudinally track momentary levels of self-stigma, psychotic symptoms, negative affect, positive affect, activity, and immediate social and physical environment in twenty-four individuals with schizophrenia, multiple times daily, over a one-week period. RESULTS: Multilevel modeling showed that participants' current activity was associated with changes in self-stigma (χ2= 10.53, p <0.05), but immediate location and social company were not. Time-lagged analyses found that increases in negative affect (β=0.11, p<0.01) and psychotic symptom severity (β=0.16, p<0.01) predicted increases in the intensity of self-stigmatizing beliefs. Psychotic symptoms were found to be both an antecedent and a consequence (β=0.08, p<0.01) of increased self-stigma. CONCLUSIONS: Our findings support a framework for understanding self-stigma as an experience that changes based on alterations in internal states and external circumstances. Mobile technologies are an effective methodology to study self-stigma and have potential to be used to deliver clinical interventions.
OBJECTIVE:Self-stigma has significant negative impact on the recovery of individuals with severe mental illness, but its varying course is not well understood. Individual levels of self-stigma may vary over time and fluctuate in response to both external/contextual (i.e., location, activity, social company) and internal (i.e., psychiatric symptoms, mood) factors. The aim of this study was to examine the relationship between self-stigmatizing beliefs and these factors, as they occur in the daily life of individuals with schizophrenia. METHODS: Mobile technologies were used to longitudinally track momentary levels of self-stigma, psychotic symptoms, negative affect, positive affect, activity, and immediate social and physical environment in twenty-four individuals with schizophrenia, multiple times daily, over a one-week period. RESULTS: Multilevel modeling showed that participants' current activity was associated with changes in self-stigma (χ2= 10.53, p <0.05), but immediate location and social company were not. Time-lagged analyses found that increases in negative affect (β=0.11, p<0.01) and psychotic symptom severity (β=0.16, p<0.01) predicted increases in the intensity of self-stigmatizing beliefs. Psychotic symptoms were found to be both an antecedent and a consequence (β=0.08, p<0.01) of increased self-stigma. CONCLUSIONS: Our findings support a framework for understanding self-stigma as an experience that changes based on alterations in internal states and external circumstances. Mobile technologies are an effective methodology to study self-stigma and have potential to be used to deliver clinical interventions.
Entities:
Keywords:
ecological momentary assessment (EMA); mHealth; mobile technologies; schizophrenia; stigma
Authors: Viviane Thewissen; Richard P Bentall; Margreet Oorschot; Joost A Campo; Thom van Lierop; Jim van Os; Inez Myin-Germeys Journal: Br J Clin Psychol Date: 2011-03-02
Authors: Ben Smith; David G Fowler; Daniel Freeman; Paul Bebbington; Hannah Bashforth; Philippa Garety; Graham Dunn; Elizabeth Kuipers Journal: Schizophr Res Date: 2006-07-20 Impact factor: 4.939
Authors: Pariya L Fazeli; Janet M Turan; Henna Budhwani; Whitney Smith; James L Raper; Michael J Mugavero; Bulent Turan Journal: Stigma Health Date: 2016-08-08
Authors: Marcelo L Schwarzbold; Robert S Kern; Derek M Novacek; Jessica E McGovern; Lauren T Catalano; Michael F Green Journal: Schizophr Res Date: 2021-01-11 Impact factor: 4.939
Authors: Ian M Raugh; Sydney H James; Cristina M Gonzalez; Hannah C Chapman; Alex S Cohen; Brian Kirkpatrick; Gregory P Strauss Journal: J Psychiatr Res Date: 2021-04-30 Impact factor: 5.250
Authors: Ellen M A Horsselenberg; Jooske T van Busschbach; Andre Aleman; Gerdine H M Pijnenborg Journal: PLoS One Date: 2016-10-26 Impact factor: 3.240